“算法推荐”的负面影响及应对策略  

Negative Impact of“Algorithmic Recommendation”and Solutions

作　　者：周敏[1] ZHOU Min(School of Journalism and Communication, Hubei University of Education, Wuhan 430205, China)

机构地区：[1]湖北第二师范学院新闻与传播学院,武汉430205

出　　处：《湖北第二师范学院学报》2021年第12期98-105,共8页Journal of Hubei University of Education

摘　　要：算法推荐技术是基于个性化的内容推荐技术,根据不同用户的特征、兴趣和偏好等维度在信息库中为其推荐最感兴趣的内容。算法推荐本身并不生产内容,但却能把握用户的阅读节奏。这种人工智能技术将用户和信息联系得更加紧密。它提升了信息分发效率,节省了用户信息搜索的时间,实现信息提供者与用户的双赢。但与此同时,“算法推荐”也导致了一些负面影响,如内容劣质低下、机器控制用户等,引发了相对密集的争议和讨论。本文从舆论生态和社会管理两个层面分析了算法推荐的负面影响,并提出了应对之策。Algorithm recommendation technology is based on personalized recommendation technology.The algorithm recommends the most interesting content for different users according to their characteristics,interests and preferences.Algorithmic recommendations don't produce content,but they do keep pace with what users are reading.This artificial intelligence technology connects users with information more closely.It improves the efficiency of information distribution,reduces the time that the user spends searching,and benefit both the information providers and users.However,“algorithm recommendation”has also led to some negative effects,such as low quality of content and control of users by machine,which has led to disputes and discussions.This paper analyzes the negative effects of algorithmic recommendation from the aspects of public opinion and social management and puts forward some measures.

关 键 词：算法推荐 负面影响 应对策略 

分 类 号：G203[文化科学—传播学]